Abstract
ISAR imaging of ships at sea with significant motion results in the Doppler frequency shift for the received signal is time-varying, which will deteriorate the ISAR image quality for the Range-Doppler (RD) algorithm. In this paper, the received signal is modeled as a multicomponent cubic phase signal (CPS), and a new method for estimating the parameters of CPS based on the integrated high-order matched phase transform (IHMPT) is proposed. This algorithm is simpler and more computational efficient than some of other parameters estimation algorithms proposed previously. Then, combined with the Range-Instantaneous-Doppler (RID) technique, the high quality instantaneous ISAR images can be obtained. The results of simulated and measured data are provided to demonstrate the effectiveness of the new method proposed.
Highlights
The Inverse Synthetic Aperture Radar (ISAR) technique has attracted the attention of many scholars all around the world, and many useful results have been obtained in the past two decades [1,2,3,4], especially for the ISAR imaging of plane target
The Range-Instantaneous-Doppler (RID) algorithm was presented for ISAR imaging of maneuvering target in [7,8,9,10], where the Doppler analysis for RD algorithm is replaced by the time frequency analysis, such as the DechirpClean method [11], the Radon-Wigner transform [12], and the adaptive Chirplet decomposition algorithm [13]
These algorithms are based on the assumption that the received signal in a range bin is a multicomponent linear-frequencymodulated (LFM) signal, and the instantaneous ISAR images can be obtained by estimating the parameters of it
Summary
The Inverse Synthetic Aperture Radar (ISAR) technique has attracted the attention of many scholars all around the world, and many useful results have been obtained in the past two decades [1,2,3,4], especially for the ISAR imaging of plane target. The Range-Instantaneous-Doppler (RID) algorithm was presented for ISAR imaging of maneuvering target in [7,8,9,10], where the Doppler analysis for RD algorithm is replaced by the time frequency analysis, such as the DechirpClean method [11], the Radon-Wigner transform [12], and the adaptive Chirplet decomposition algorithm [13] These algorithms are based on the assumption that the received signal in a range bin is a multicomponent linear-frequencymodulated (LFM) signal, and the instantaneous ISAR images can be obtained by estimating the parameters of it. The received signal is modeled as multicomponent cubic phase signal (CPS), and the integrated high-order matched phase transform (IHMPT) is presented to estimate the parameters of it This method requires only one-dimensional maximization, and the parameters of each component can be estimated efficiently.
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